Nathaniel Weir
12 papers · 2020–2025 · 7 venues · across top CS/AI venues
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(11)
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Research topics
Natural Language Processing
(10)
Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(6)
Generation
(6)
Deep Learning
(4)
Applications
(4)
Resources & Methods
(4)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Keywords
knowledge distillation
(3)
large language model
(2)
visual question answering
(1)
factual accuracy
(1)
natural language inference
(1)
in-context learning
(1)
model evaluation
(1)
locality sensitive hashing
(1)
dialogue generation
(1)
knowledge representation
(1)
text generation
(1)
semantic parsing
(1)
code generation
(1)
video understanding
(1)
program synthesis
(1)
natural language generation
(1)
semantic similarity
(1)
knowledge graph
(1)
confidence scoring
(1)
few-shot learning
(1)
Papers
Core: Robust Factual Precision with Informative Sub-Claim Identification
ACL 2025
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
ICLR 2025
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
AAAI 2025
“According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data
EACL 2024
Defending Against Disinformation Attacks in Open-Domain Question Answering
EACL 2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
EMNLP 2024
Learning to Reason via Program Generation, Emulation, and Search
NeurIPS 2024
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning
IJCAI 2024
Ontologically Faithful Generation of Non-Player Character Dialogues
EMNLP 2024
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning
EMNLP 2024
InFillmore: Frame-Guided Language Generation with Bidirectional Context
ACL 2021
COD3S: Diverse Generation with Discrete Semantic Signatures
EMNLP 2020